Chronic Stress and Negative Marital Quality Among Older Couples: Associations With Waist Circumference
Bibliographic record
Abstract
Objective: More than a third of the U.S. population of older adults is obese. The present study tests the Dyadic Biopsychosocial Model of Marriage and Health, which hypothesizes that, among married couples, individual and partner chronic stress predicts increased waist circumference and these links are exacerbated in negative quality marriages. Method: Participants were from the nationally representative longitudinal Health and Retirement Study (HRS). A total of 2,042 married individuals (in 1,098 married couples) completed psychosocial and waist circumference assessments in 2006 and 2010. Analyses examined whether negative marital quality and chronic stress in Wave 1 (2006) were associated with changes in waist circumference over time. Results: Actor-partner interdependence models revealed that greater partner stress, rather than individuals' own reports of stress, was associated with increased waist circumference over time. Higher perceived negative marital quality among husbands and lower negative marital quality among wives exacerbated the positive link between partner stress and waist circumference. Discussion: Consistent with the Dyadic Biopsychosocial Model of Marriage and Health, partner stress has direct associations with waist circumference among couples and this link is moderated by negative marital quality. Thus, dyadic perceptions of stress and negative marital quality are important to consider for understanding marriage and obesity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".